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JMLR
2006
113views more  JMLR 2006»
14 years 9 months ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...
ICWSM
2008
14 years 11 months ago
Logsonomy: A Search Engine Folksonomy
In social bookmarking systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hyper...
Robert Jäschke, Beate Krause, Andreas Hotho, ...
95
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ICDM
2010
IEEE
202views Data Mining» more  ICDM 2010»
14 years 7 months ago
Discovering Overlapping Groups in Social Media
Abstract--The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, bookmarking in Delicious, twittering in T...
Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
WWW
2006
ACM
15 years 10 months ago
An integrated method for social network extraction
A social network can become bases for information infrastructure in the future. It is important to extract social networks that are not biased. Providing a simple means for users ...
Tom Hope, Takuichi Nishimura, Hideaki Takeda
CHI
2005
ACM
15 years 10 months ago
Incorporating physical co-presence at events into digital social networking
As mobile devices become location-aware, it will become possible to know when people are physically co-located and to incorporate this information into social software. Is this va...
Scott Counts, John Geraci